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  1. Article: Multifractal analysis of social media use in financial markets.

    Oh, Gabjin

    The journal of the Korean Physical Society

    2022  Volume 80, Issue 6, Page(s) 526–532

    Abstract: We analyze the nonlinear properties of social media activity(SMA) using the multifractal detrended fluctuation analysis (MF-DFA) method. Social media data related to the stock market are gathered from social media platforms. Using data on over 2000 firms ...

    Abstract We analyze the nonlinear properties of social media activity(SMA) using the multifractal detrended fluctuation analysis (MF-DFA) method. Social media data related to the stock market are gathered from social media platforms. Using data on over 2000 firms in the Korean stock market for 2018-2020, we study social media activity and its differences to evaluate associated nonlinear and statistical properties. We find that the cumulative distribution function of SMA follows a stretched exponential distribution with
    Language English
    Publishing date 2022-02-25
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2046361-3
    ISSN 1976-8524 ; 0374-4884
    ISSN (online) 1976-8524
    ISSN 0374-4884
    DOI 10.1007/s40042-022-00448-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: One-Stage Brake Light Status Detection Based on YOLOv8.

    Oh, Geesung / Lim, Sejoon

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 17

    Abstract: Despite the advancement of advanced driver assistance systems (ADAS) and autonomous driving systems, surpassing the threshold of level 3 of driving automation remains a challenging task. Level 3 of driving automation requires assuming full responsibility ...

    Abstract Despite the advancement of advanced driver assistance systems (ADAS) and autonomous driving systems, surpassing the threshold of level 3 of driving automation remains a challenging task. Level 3 of driving automation requires assuming full responsibility for the vehicle's actions, necessitating the acquisition of safer and more interpretable cues. To approach level 3, we propose a novel method for detecting driving vehicles and their brake light status, which is a crucial visual cue relied upon by human drivers. Our proposal consists of two main components. First, we introduce a fast and accurate one-stage brake light status detection network based on YOLOv8. Through transfer learning using a custom dataset, we enable YOLOv8 not only to detect the driving vehicle, but also to determine its brake light status. Furthermore, we present the publicly available custom dataset, which includes over 11,000 forward images along with manual annotations. We evaluate the performance of our proposed method in terms of detection accuracy and inference time on an edge device. The experimental results demonstrate high detection performance with an mAP50 (mean average precision at IoU threshold of 0.50) ranging from 0.766 to 0.793 on the test dataset, along with a short inference time of 133.30 ms on the Jetson Nano device. In conclusion, our proposed method achieves high accuracy and fast inference time in detecting brake light status. This contribution effectively improves safety, interpretability, and comfortability by providing valuable input information for ADAS and autonomous driving technologies.
    Language English
    Publishing date 2023-08-25
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23177436
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The contagion effect of heterogeneous investor groups.

    Park, A-Young / Oh, Gabjin

    PloS one

    2023  Volume 18, Issue 10, Page(s) e0292795

    Abstract: This paper suggests an alternative approach to measuring systemic risk in financial markets by examining the interconnectedness among heterogeneous investors. Utilizing variance decomposition and a trading database from the Korea Stock Exchange spanning ... ...

    Abstract This paper suggests an alternative approach to measuring systemic risk in financial markets by examining the interconnectedness among heterogeneous investors. Utilizing variance decomposition and a trading database from the Korea Stock Exchange spanning 2002-2018, we find that systemic risk, as quantified by total connectedness based on microlevel investor activity, intensifies during both domestic and global financial crises. In addition, our analysis indicates that retail investors, often termed noise traders, are pivotal contributors to the propagation of financial shocks. We also find that portfolios constructed by the sensitivity of total connectedness yield additional returns. This study could enhance our understanding of the contagion effect by incorporating the investor perspective, and the findings could offer valuable insights for policy-makers and regulators.
    MeSH term(s) Humans ; Administrative Personnel ; Databases, Factual ; Marketing ; Reproduction
    Language English
    Publishing date 2023-10-18
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0292795
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  4. Article ; Online: Working Conditions Affecting Home Care Workers' Stress and Turnover Intention.

    Lee, Samsik / Oh, Gyeongrim

    Journal of applied gerontology : the official journal of the Southern Gerontological Society

    2023  Volume 42, Issue 4, Page(s) 717–727

    Abstract: This study explored how working conditions influence the psychological outcomes of paid family and non-family home care workers, focusing on the interaction between institutional and recipient effects. Using data from the 2019 Korean Long-Term Care ... ...

    Abstract This study explored how working conditions influence the psychological outcomes of paid family and non-family home care workers, focusing on the interaction between institutional and recipient effects. Using data from the 2019 Korean Long-Term Care Survey (N = 998), we performed regression analyses on home care workers' stress and turnover intention. For both types of home care-workers, inadequate working conditions and high occupational hazards influenced stress, while good working conditions and low occupational hazards influenced turnover intention. Overall, the findings suggest that wages, working hours, and work intensity must be reformed in a home care-worker-friendly manner; the wages for home care workers must be raised to a level appropriate to their care work; the services provided by home care workers should be explicitly stipulated; and, to eliminate occupational hazards, environments for fostering cordial relationships between recipients and home care workers must be developed.
    MeSH term(s) Humans ; Working Conditions ; Job Satisfaction ; Intention ; Home Health Aides/psychology ; Home Care Services ; Personnel Turnover
    Language English
    Publishing date 2023-01-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 155897-3
    ISSN 1552-4523 ; 0733-4648
    ISSN (online) 1552-4523
    ISSN 0733-4648
    DOI 10.1177/07334648221148163
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2901: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: The role of depressive symptoms between neighbourhood disorder, criminal justice contact, and suicidal ideation: Integrating an ecological stress model with General Strain Theory.

    Oh, Gyeongseok / Connolly, Eric J

    Criminal behaviour and mental health : CBMH

    2022  Volume 32, Issue 1, Page(s) 35–47

    Abstract: Background: While much literature has examined the independent effect of perceived neighbourhood disorder on criminal behaviour and/or mental disorder, comparatively little is known about the role of depressive symptoms on these associations over time.!# ...

    Abstract Background: While much literature has examined the independent effect of perceived neighbourhood disorder on criminal behaviour and/or mental disorder, comparatively little is known about the role of depressive symptoms on these associations over time.
    Aims: Our aim was to examine whether depressive symptoms mediate association between perceived neighbourhood disorder, future criminal justice contact, and future suicidal ideation.
    Methods: We grounded this research in primary arguments derived from General Strain Theory (GST). Data were drawn from structured self-reports in surveys of over 2000 young adult participants from the Children of the National Longitudinal Survey of Youth, who are the offspring born to the women from the National Longitudinal Survey of Youth 1979. Information on neighbourhood disorder and depressive symptoms were used from the 2012 data collection period, while information on criminal justice contact and suicidal ideation were drawn from the 2014 period. Structural equation modelling was used to examine both direct and indirect pathways between neighbourhood disorder, depression, contact with the justice system, and suicidal ideation from 2012 to 2014.
    Results: Depressive symptoms were found to partially mediate the effect of perceived neighbourhood disorder on future criminal justice contact, with the strength of this effect varying across categories of race/ethnicity. The association between perceived neighbourhood disorder and suicidal ideation was fully mediated by depressive symptoms.
    Conclusions and implications: Our findings are consistent with an ecological stress framework integrated with arguments from GST to understand the associations between neighbourhood disorder, criminal justice contact, and severe mental illness. Future research is needed on gender and racial/ethnic pathways. The reported findings suggest that, in addition to neighbourhood improvements, ready access to mental health services could not only reduce the risk of suicide but support safer communities.
    MeSH term(s) Adolescent ; Child ; Criminal Law ; Depression/epidemiology ; Depression/psychology ; Female ; Humans ; Mental Disorders ; Suicidal Ideation ; Suicide/psychology ; Young Adult
    Language English
    Publishing date 2022-02-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 2042697-5
    ISSN 1471-2857 ; 0957-9664
    ISSN (online) 1471-2857
    ISSN 0957-9664
    DOI 10.1002/cbm.2229
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  6. Article ; Online: Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements.

    Oh, Gyutaek / Moon, Yeonsil / Moon, Won-Jin / Ye, Jong Chul

    NeuroImage

    2024  Volume 291, Page(s) 120571

    Abstract: DCE-MRI provides information about vascular permeability and tissue perfusion through the acquisition of pharmacokinetic parameters. However, traditional methods for estimating these pharmacokinetic parameters involve fitting tracer kinetic models, which ...

    Abstract DCE-MRI provides information about vascular permeability and tissue perfusion through the acquisition of pharmacokinetic parameters. However, traditional methods for estimating these pharmacokinetic parameters involve fitting tracer kinetic models, which often suffer from computational complexity and low accuracy due to noisy arterial input function (AIF) measurements. Although some deep learning approaches have been proposed to tackle these challenges, most existing methods rely on supervised learning that requires paired input DCE-MRI and labeled pharmacokinetic parameter maps. This dependency on labeled data introduces significant time and resource constraints and potential noise in the labels, making supervised learning methods often impractical. To address these limitations, we present a novel unpaired deep learning method for estimating pharmacokinetic parameters and the AIF using a physics-driven CycleGAN approach. Our proposed CycleGAN framework is designed based on the underlying physics model, resulting in a simpler architecture with a single generator and discriminator pair. Crucially, our experimental results indicate that our method does not necessitate separate AIF measurements and produces more reliable pharmacokinetic parameters than other techniques.
    MeSH term(s) Humans ; Contrast Media/pharmacokinetics ; Deep Learning ; Computer Simulation ; Image Enhancement/methods ; Magnetic Resonance Imaging/methods ; Algorithms ; Reproducibility of Results
    Chemical Substances Contrast Media
    Language English
    Publishing date 2024-03-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2024.120571
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3664: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 7: Show issues

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  7. Article ; Online: Fabrication of a Fully Printed Ammonia Gas Sensor Based on ZnO/rGO Using Ultraviolet-Ozone Treatment.

    Won, Mijin / Sim, Jaeho / Oh, Gyeongseok / Jung, Minhun / Mantry, Snigdha Paramita / Kim, Dong-Soo

    Sensors (Basel, Switzerland)

    2024  Volume 24, Issue 5

    Abstract: In this study, a room-temperature ammonia gas sensor using a ZnO and reduced graphene oxide (rGO) composite is developed. The sensor fabrication involved the innovative application of reverse offset and electrostatic spray deposition (ESD) techniques to ... ...

    Abstract In this study, a room-temperature ammonia gas sensor using a ZnO and reduced graphene oxide (rGO) composite is developed. The sensor fabrication involved the innovative application of reverse offset and electrostatic spray deposition (ESD) techniques to create a ZnO/rGO sensing platform. The structural and chemical characteristics of the resulting material were comprehensively analyzed using XRD, FT-IR, FESEM, EDS, and XPS, and rGO reduction was achieved via UV-ozone treatment. Electrical properties were assessed through I-V curves, demonstrating enhanced conductivity due to UV-ozone treatment and improved charge mobility from the formation of a ZnO-rGO heterojunction. Exposure to ammonia gas resulted in increased sensor responsiveness, with longer UV-ozone treatment durations yielding superior sensitivity. Furthermore, response and recovery times were measured, with the 10 min UV-ozone-treated sensor displaying optimal responsiveness. Performance evaluation revealed linear responsiveness to ammonia concentration with a high R
    Language English
    Publishing date 2024-03-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s24051691
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  8. Article ; Online: Bayesian predictive modeling for gas purification using breakthrough curves.

    Hyun, Yesol / Oh, Geunwoo / Lee, Jaeheon / Jung, Heesoo / Kim, Min-Kun / Choi, Jung-Il

    Journal of hazardous materials

    2024  Volume 472, Page(s) 134311

    Abstract: This study proposes a predictive model for assessing adsorber performance in gas purification processes, specifically targeting the removal of chemical warfare agents (CWAs) using breakthrough curve analysis. Conventional parameter estimation methods, ... ...

    Abstract This study proposes a predictive model for assessing adsorber performance in gas purification processes, specifically targeting the removal of chemical warfare agents (CWAs) using breakthrough curve analysis. Conventional parameter estimation methods, such as Brunauer-Emmett-Teller analysis, encounter challenges due to the limited availability of kinetic and equilibrium data for CWAs. To overcome these challenges, we implement a Bayesian parametric inference method, facilitating direct parameter estimation from breakthrough curves. The model's efficacy is confirmed by applying it to H
    Language English
    Publishing date 2024-04-17
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1491302-1
    ISSN 1873-3336 ; 0304-3894
    ISSN (online) 1873-3336
    ISSN 0304-3894
    DOI 10.1016/j.jhazmat.2024.134311
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Synergistic effect of TTF and 5-FU combination treatment on pancreatic cancer cells.

    Jo, Yunhui / Lee, Eunjun / Oh, Geon / Gi, Yongha / Yoon, Myonggeun

    American journal of cancer research

    2023  Volume 13, Issue 10, Page(s) 4734–4741

    Abstract: The present study investigated the therapeutic potential of combining tumor-treating fields (TTF), a novel cancer treatment modality that employs low-intensity, alternating electric fields, with 5-fluorouracil (5-FU), a standard chemotherapy drug used ... ...

    Abstract The present study investigated the therapeutic potential of combining tumor-treating fields (TTF), a novel cancer treatment modality that employs low-intensity, alternating electric fields, with 5-fluorouracil (5-FU), a standard chemotherapy drug used for treating pancreatic cancer. The HPAF-II and Mia-Paca II pancreatic cancer cell lines were treated with TTF, 5-FU, or their combination. Combination treatment produced a significantly greater inhibitory effect on cancer cell proliferation than each single modality. Furthermore, combination therapy induced a substantially higher rate of pancreatic cancer cell apoptosis and exhibited a synergistic effect in clonogenic assays. Additionally, combination treatment showed a greater inhibition of cancer cell migration and invasion than either TTF or 5-FU alone. In conclusion, these findings suggest that the synergistic properties of TTF and 5-FU result in greater therapeutic efficacy against pancreatic cancer cells than either modality alone and may improve survival rates in patients with pancreatic cancer.
    Language English
    Publishing date 2023-10-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2589522-9
    ISSN 2156-6976
    ISSN 2156-6976
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Ion-Movement-Based Synaptic Device for Brain-Inspired Computing.

    Yoon, Chansoo / Oh, Gwangtaek / Park, Bae Ho

    Nanomaterials (Basel, Switzerland)

    2022  Volume 12, Issue 10

    Abstract: As the amount of data has grown exponentially with the advent of artificial intelligence and the Internet of Things, computing systems with high energy efficiency, high scalability, and high processing speed are urgently required. Unlike traditional ... ...

    Abstract As the amount of data has grown exponentially with the advent of artificial intelligence and the Internet of Things, computing systems with high energy efficiency, high scalability, and high processing speed are urgently required. Unlike traditional digital computing, which suffers from the von Neumann bottleneck, brain-inspired computing can provide efficient, parallel, and low-power computation based on analog changes in synaptic connections between neurons. Synapse nodes in brain-inspired computing have been typically implemented with dozens of silicon transistors, which is an energy-intensive and non-scalable approach. Ion-movement-based synaptic devices for brain-inspired computing have attracted increasing attention for mimicking the performance of the biological synapse in the human brain due to their low area and low energy costs. This paper discusses the recent development of ion-movement-based synaptic devices for hardware implementation of brain-inspired computing and their principles of operation. From the perspective of the device-level requirements for brain-inspired computing, we address the advantages, challenges, and future prospects associated with different types of ion-movement-based synaptic devices.
    Language English
    Publishing date 2022-05-18
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662255-5
    ISSN 2079-4991
    ISSN 2079-4991
    DOI 10.3390/nano12101728
    Database MEDical Literature Analysis and Retrieval System OnLINE

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